Since the early 1980s, the U.S. economy has experienced a growing wage differential: high-skilled workers have claimed an increasing share of available income, while low-skilled workers have seen an absolute decline in real wages. How and why this disparity has arisen is a matter of ongoing...

We summarize a framework for the study of the implications of automation and AI on the demand for labor, wages, and employment. Our task-based framework emphasizes the displacement effect that automation creates as machines and AI replace labor in tasks that it used to perform. This displacement...

Since 1973 median compensation has diverged starkly from average labor productivity. Since 2000, average compensation has also begun to diverge from labor productivity. These divergences lead to the question: to what extent does productivity growth translate into compensation growth for typical...

This paper investigates the wage returns to schooling and actual early work experiences, and how these returns have changed over the past twenty years. Using the NLSY surveys, we develop and estimate a dynamic model of the joint schooling and work decisions that young men make in early...

We develop a new approach to measuring the correlation between the types of matched workers and firms. Our approach accurately measures the correlation in data sets with many workers and firms, but a small number of independent observations for each. Using administrative data from Austria, we...

The basic canonical model fails to predict the aggregate college premium outside of the original sample period (1963-1987) or to account for the observed deviations in college premia for younger vs. older workers. This paper documents that these failings are due to mis-measurement of the...

We consider the life cycle choices of a household that in each period decides how much to consume and how to allocate spouses' time to work, leisure, and childcare. In an environment with uncertainty, the allocation of goods and time over the life cycle also serves the purpose of smoothing...

This paper has two main parts. In the first, we describe a method that smooths the objective function in a general class of indirect inference models. Our smoothing procedure makes use of importance sampling weights in estimation of the auxiliary model on simulated data. The importance sampling...